Image Classification
Transformers
Safetensors
PyTorch
vit
Not-For-All-Audiences
Eval Results (legacy)
Instructions to use giacomoarienti/nsfw-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use giacomoarienti/nsfw-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="giacomoarienti/nsfw-classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("giacomoarienti/nsfw-classifier") model = AutoModelForImageClassification.from_pretrained("giacomoarienti/nsfw-classifier", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
how to cite this model
#2
by yugaaaa - opened
how do i cite this model?
yugaaaa changed discussion title from Request: DOI to how to cite this model
DOI generated:
@misc {giacomo_arienti_2024,
author = { {Giacomo Arienti} },
title = { nsfw-classifier (Revision 4c8d67f) },
year = 2024,
url = { https://huggingface.co/giacomoarienti/nsfw-classifier },
doi = { 10.57967/hf/2906 },
publisher = { Hugging Face }
}